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Published 20 hours ago • verified publisher icon abhisheks008

Heart Failure Prediction

Open abhisheks008 opened this issue 2 years ago • 3 comments

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Heart Failure Prediction :red_circle: Aim : Create a prediction model for heart failure of the patients. :red_circle: Dataset : https://www.kaggle.com/datasets/asgharalikhan/mortality-rate-heart-patient-pakistan-hospital :red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

📍 Follow the Guidelines to Contribute in the Project :

  • You need to create a separate folder named as the Project Title.
  • Inside that folder, there will be four main components.
    • Images - To store the required images.
    • Dataset - To store the dataset or, information/source about the dataset.
    • Model - To store the machine learning model you've created using the dataset.
    • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
  • Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

:red_circle::yellow_circle: Points to Note :

  • The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
  • "Issue Title" and "PR Title should be the same. Include issue number along with it.
  • Follow Contributing Guidelines & Code of Conduct before start Contributing.
  • This issue is only for 'SWOC' and 'JWOC' contributors of 'ML-Crate' project.

:white_check_mark: To be Mentioned while taking the issue :

  • Full name :
  • GitHub Profile Link :
  • Participant ID (If not, then put NA) :
  • Approach for this Project :
  • What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.)

Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

abhisheks008 avatar Jul 21 '22 14:07 abhisheks008

Please assign me this. @abhisheks008

Avik-creator avatar Jul 23 '22 08:07 Avik-creator

Issue assigned to you @Avik-creator

abhisheks008 avatar Jul 23 '22 08:07 abhisheks008

Sorry but can't do it for now. Will do it later @abhisheks008

Avik-creator avatar Jul 24 '22 10:07 Avik-creator

Please assign me this. @abhisheks008

Sugam-Mahajan avatar Sep 22 '22 10:09 Sugam-Mahajan

Are you a participant from any open source program or, just wanna contribute here as a contributor? @Sugam-Mahajan

abhisheks008 avatar Sep 22 '22 11:09 abhisheks008

Just wanted to contribute as a part of our college project

Sugam-Mahajan avatar Sep 22 '22 14:09 Sugam-Mahajan

Sounds great @Sugam-Mahajan. Can you elaborate the approach you wanna go through while solving this issue?

abhisheks008 avatar Sep 22 '22 15:09 abhisheks008

We will apply EDA and then use 3 algo namely: KNeighboursClassifier, DecisionTreeClasssifier, RandomForestClassifier . Then compare the accuracy of each algorithm.

Sugam-Mahajan avatar Sep 23 '22 17:09 Sugam-Mahajan

Full name : BrijeshMali GitHub Profile Link : https://github.com/Brijesh003 Participant ID (If not, then put NA) : NA Approach for this Project : I will use RandomForest & KNeighbours

Brijesh003 avatar Sep 25 '22 07:09 Brijesh003

I'm new to ML so I will learn and contribute

Brijesh003 avatar Sep 25 '22 07:09 Brijesh003

@Sugam-Mahajan your approach sounds good to me. This issue is assigned to you. Go ahead!

@Brijesh003 we assign issues on first come first serve basis, as @Sugam-Mahajan commented here first with the approach, I have to assign that. You can take up other issues and comment on them with your approach.

abhisheks008 avatar Sep 25 '22 08:09 abhisheks008

Ok Sir

Brijesh003 avatar Sep 25 '22 08:09 Brijesh003

Hey @Brijesh003 updates regarding this issue.

abhisheks008 avatar Oct 12 '22 08:10 abhisheks008

Hey @abhisheks008 you have assigned this issue to @Sugam-Mahajan.

Brijesh003 avatar Oct 12 '22 16:10 Brijesh003

My bad @Brijesh003. Sorry for the inconvenience caused.

@Sugam-Mahajan updates regarding this issue.

abhisheks008 avatar Oct 12 '22 16:10 abhisheks008

Hi @abhisheks008, I have successfully implemented one algorithm along with EDA. I will complete this till Saturday with the remaining 2 algorithms.

Thank you

Sugam-Mahajan avatar Oct 12 '22 16:10 Sugam-Mahajan